Subject archive for "model-evaluation"
Building Robust Models with Cross-Validation in Python
So, you have a machine learning model! Congratulations! Now what? Well, as I always remind colleagues, there is no such thing as a perfect model, only good enough ones. With that in mind, the natural thing to do is to ensure that the machine learning model you have trained is robust and can generalise well to unseen data. On the one hand, we need to ensure that our model is not under- or overfitting, and on the other one, we need to optimise any hyperparameters present in our model. In order words, we are interested in model validation and selection.
By Dr J Rogel-Salazar16 min read
Machine Learning Modeling: How It Works and Why It’s Important
By David Weedmark11 min read
Defining Metrics to Drive Machine Learning Model Adoption & Value
By David Bloch12 min read
On Being Model-driven: Metrics and Monitoring
This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Many thanks to Don Miner for collaborating with Domino on this article. For additional vital signs and insight beyond what is provided in this article, attend the webinar.
By Ann Spencer7 min read
Towards Predictive Accuracy: Tuning Hyperparameters and Pipelines
This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Fenner. The excerpt evaluates hyperparameters including GridSearch and RandomizedSearch as well as building an automated ML workflow.
By Andrea Lowe37 min read
Justified Algorithmic Forgiveness?
Last week, Paco Nathan referenced Julia Angwin’s recent Strata keynote that covered algorithmic bias. This Domino Data Science Field Note dives a bit deeper into some of the publicly available research regarding algorithmic accountability and forgiveness, specifically around a proprietary black box model used to predict the risk of recidivism, or whether someone will “relapse into criminal behavior”.
By Domino14 min read
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